Momentum Analysis based Stock Market Prediction using Adaptive Neuro-Fuzzy Inference System ( ANFIS )

    @inproceedings{AgrawalMomentumAB,
      title={Momentum Analysis based Stock Market Prediction using Adaptive Neuro-Fuzzy Inference System ( ANFIS )},
      author={Samarth Agrawal and Manoj Kumar Jindal and G. N. Pillai}
    }
    ANFIS architecture (which were developed using empirical examinations) are provided. 

    Figures and Tables from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 20 CITATIONS

    State-of-the-Art in Stock Prediction Techniques

    VIEW 3 EXCERPTS
    CITES BACKGROUND & METHODS
    HIGHLY INFLUENCED

    Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment

    • 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
    • 2018
    VIEW 1 EXCERPT
    CITES METHODS

    A Bayesian-adaboost model for stock trading rule discovery

    • 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
    • 2017
    VIEW 1 EXCERPT
    CITES METHODS

    DAPS: Dairy analysis and prediction system using technical indicators

    • 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)
    • 2017
    VIEW 1 EXCERPT
    CITES METHODS

    References

    Publications referenced by this paper.
    SHOWING 1-2 OF 2 REFERENCES

    Neural Network With Genetic Algorithms For Stocks Prediction , Fifth Conference of the Association of Asian - Pacific Operations Research Societies , 5 th - 7 th July , Singapore

    P. K. H. Ming Phua, D., W. Lin
    • Linear Networks and Systems ( Book style )
    • 2000